Daniel Kirsch

Mathematician. Web. Data. Visualization.

Machine „dompteur” with a
math diploma from University of Münster and a background in
pattern recognition and machine learning. Creator of
detexify.
I am excited about data products - from the ML up to the UX. I speak many programming languages - preferrably functional ones.

Experience

Data Scientist
Mathematical Modelling, Machine Learning, Artificial Intelligence, Optimization
in a wide range of contexts like IoT, urban planning, finance, mobility, and many more using Python, Pandas, scikit-learn, keras,
R and the tidyverse, caret, Shiny, Docker, Elasticsearch, Ansible, AWS (whatever is the right tool for the job).
I also

mentor working students and younger colleagues

have established reproducible research principles in our projects (codified in project templates)

created an infrastructure for my colleagues to easily run analyses in pre-configured cloud environments

created a Docker-based infrastructure to make our web based demonstrator apps available to our customers

created scripts to ensure a consistent development setup across company laptops (which codifies our best practices)

Freelancer
4/2015 - 1/2016

Mathematician

Reduction of food waste through predictive modeling of time series fo a german vending machine business with scikit-learn

Statistical consulting and predictive modeling for in financial services (dunning processes) with R

Supported development of a machine learning API for a Berlin-based parking app startup

smartB
Energy Management GmbH8/2014 - 3/2015

Data Analyst & Visualization Expert

Translation of business requirements into suitable technical solutions

Leading frontend development (Project Management, Node, D3, Angular) and building APIs and the data pipeline (Python, Pandas) for our smart meters and NILM results

Drafting and implementing a DevOps process and best practices with Ansible

Hitfox Group
Incubator building companies and careers6/2014 - 7/2014

Data Scientist

Prototyped a Big Data architecture in a Telco context

Supported a new FinTech venture by prototyping the backend architecture and implementing the MVP with Rails

Zweitag GmbH
Ruby on Rails Consultancy8/2009 - 5/2014

Software Developer
I was involved in a variety of projects ranging from ecommerce sites and auction systems to business intelligence tools. I worked on the Rails backend as well as with frontend technologies such as Haml, SASS, client-side Javascript-frameworks and D3.js for data visualization. I helped establish TDD/BDD as a company best-practice, intoduced new technology such as Angular.js as a core Zweitag technology and supported and co-created the corporate mentorship program besides mentoring student workers and interns.

Visualization and Computer Graphics Research Group
of the University of Münster10/2008 - 3/2009

Voluntary experience

DSSG Berlin
12/2014 - present

Founder
Data Science for Social Good Berlin is a pro bono intermediary for data science.
We help nonprofits move into the data age by running workshops and hackathons to help solve their data problems
thus connecting them to industry data scientists.
See
http://dssg-berlin.org/
and
https://blog.dssg-berlin.org/
for more details.